AgentIndex icon
AgentIndex
mcpsnoop logo
mcpsnoop
★ 362
vs
lmnr logo
lmnr
★ 3.4k

mcpsnoop vs lmnr

mcpsnoop: mcpsnoop is a transparent proxy designed for the Model Context Protocol (MCP), acting like Wireshark for AI client-server interactions. It allows developers to live-debug actual MCP traffic in a terminal UI, addressing limitations of existing tools by observing real client-server communications.; lmnr: Laminar is an open-source observability platform specifically designed for AI agents. It provides comprehensive tools for tracing, evaluation, and monitoring of AI agent behavior and performance.

01

TL;DR

mcpsnoop logo
mcpsnoopObservability · ★ 362

Debugging AI client-server communication to identify unseen or unexpected tool calls.

Read mcpsnoop full review →
lmnr logo
lmnrObservability · ★ 3.4k

Debugging and understanding the execution flow and internal states of AI agents.

Read lmnr full review →
02

Side-by-Side Comparison

Field
mcpsnoop logomcpsnoop
lmnr logolmnr
Category
Observability
Observability
Stars
★ 362
★ 3.4k
License
MIT
Apache-2.0
Install Command
go install github.com/kerlenton/mcpsnoop/cmd/mcpsnoop@latest
git clone https://github.com/lmnr-ai/lmnr && cd lmnr && docker compose up -d
Updated
6d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Development, Debugging Tool, Network Proxy
AI Observability, Tracing, LLM Evals
03

Features

mcpsnoop logomcpsnoop
01Live JSON-RPC stream with color-coding, error flagging, and slow call detection.
02Replay any captured tool call against an isolated server instance.
03Capability inspector to view client and server agreed capabilities during handshake.
04Hung-call detection for in-flight requests with live timers.
05Powerful filter query to narrow the stream by tool, status, direction, kind, or text.
lmnr logolmnr
01OpenTelemetry-native tracing SDK with support for various AI SDKs (Vercel AI SDK, LangChain, OpenAI, etc.).
02Unopinionated, extensible SDK and CLI for running evals, with a UI for visualizing and comparing results.
03AI monitoring with the ability to define events using natural language descriptions to track agent behavior.
04SQL access to all collected data (traces, metrics, events) via a built-in SQL editor and API.
05High-performance architecture written in Rust, featuring a custom real-time engine and ultra-fast full-text search.
04

Use Cases

mcpsnoop logomcpsnoop
↳Debugging AI client-server communication to identify unseen or unexpected tool calls.
↳Rapid iteration on tool development by replaying captured calls against fresh server instances.
↳Identifying hung or failed tool calls and understanding capability discrepancies.
↳Observing the exact MCP traffic between your AI client and server in real-time.
lmnr logolmnr
↳Debugging and understanding the execution flow and internal states of AI agents.
↳Evaluating the performance, quality, and reliability of AI agents and their responses.
↳Monitoring AI agents in production for anomalies, logical errors, and custom business behaviors.
05

Best For

mcpsnoop logomcpsnoop
—
lmnr logolmnr
EssentialTrending
FAQ

FAQ

What is the difference between mcpsnoop and lmnr?
Both mcpsnoop and lmnr are in the Observability category. mcpsnoop has 362 stars, while lmnr has 3.4k stars.
Which is better, mcpsnoop or lmnr?
The best choice depends on your use case. Choose mcpsnoop if Debugging AI client-server communication to identify unseen or unexpected tool calls., and lmnr if Debugging and understanding the execution flow and internal states of AI agents..
Is mcpsnoop free or open source?
Yes, mcpsnoop is open source on GitHub (MIT).
Is lmnr free or open source?
Yes, lmnr is open source on GitHub (Apache-2.0).
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Related

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